Equidistribution from the Chinese Remainder Theorem E. Kowalski - - PowerPoint PPT Presentation

equidistribution from the chinese remainder theorem
SMART_READER_LITE
LIVE PREVIEW

Equidistribution from the Chinese Remainder Theorem E. Kowalski - - PowerPoint PPT Presentation

Equidistribution from the Chinese Remainder Theorem E. Kowalski ETH Zrich April 23, 2020 [Joint work with K. Soundararajan, arXiv:2003.12965 ] Motivation Hooley (1964): the fractional parts of the roots modulo q x of a fixed


slide-1
SLIDE 1

Equidistribution from the Chinese Remainder Theorem

  • E. Kowalski

ETH Zürich

April 23, 2020

[Joint work with K. Soundararajan, arXiv:2003.12965]

slide-2
SLIDE 2

Motivation

Hooley (1964): “the fractional parts of the roots modulo q x of a fixed irreducible f ∈ Z[X] of degree at least 2 become equidistributed in [0, 1] as x → +∞.” Basic summary of (parts of) our results: ◮ This sentence is open to different interpretations, and Hooley’s is not the most natural; ◮ But the result has little to do with specific arithmetic properties of roots of polynomial congruences; ◮ Rather, there is a very natural and very general statement which reveals that the key source of equidistribution here is the “mixing” property of the Chinese Remainder Theorem.

slide-3
SLIDE 3

Equidistribution

Equidistribution modulo 1 was defined by Weyl for sequences (xn) of real

  • numbers. For generalizations, it is much better to view it as a special

case of convergence in law, or weak convergence of probability measures.

  • Definition. Let X be a compact topological space with a probability

measure µ. A sequence (µn) of probability measures on X converges to µ if we have lim

n→+∞

  • X

f (x)dµn(x) =

  • X

f (x)dµ(x) for all continuous functions f : X → C. Abstract Weyl Criterion: it is enough to use f that span (algebraically) a dense subset of C(X).

slide-4
SLIDE 4

Hooley’s (implicit) measures

◮ X = [0, 1], µ = Lebesgue measure. ◮ f ∈ Z[X] irreducible of degree 2. ◮ For Q 1, the probability measure µ(H)

Q

is µ(H)

Q

= 1 MQ

  • qQ
  • a mod q

f (a)=0

δ{a/q} where δt is a Dirac mass at t and MQ =

  • qQ
  • a mod q

f (a)=0

1. ◮ (Weyl) It is enough to test equidistribution for the functions f (x) = e(hx) = exp(2iπhx), h ∈ Z non-zero.

slide-5
SLIDE 5

Generalization

The key properties that explain Hooley’s result are:

  • 1. There is a positive density of primes p such that f has at least 2

roots modulo p (e.g. totally split primes, by Chebotarev);

  • 2. The number of roots modulo p is bounded as p varies;
  • 3. The roots of f modulo q are determined, if q is squarefree, by the

Chinese Remainder Theorem and the roots of f modulo prime divisors of q: {a ∈ Z/qZ | f (a) = 0} = {a ∈ Z/qZ | for all p | q, f (a mod p) = 0 mod p}. Condition (2) is an artefact of Hooley’s (implicit) choice of measures. Only (1) and (3) are essential.

slide-6
SLIDE 6

Equidistribution in R/Z

For p prime, let Ap ⊂ Z/pZ be given. For q squarefree, let Aq = {x ∈ Z/qZ | x mod p ∈ Ap for allp | q}. Let ̺(q) = |Aq|; it is a multiplicative function. Let Q be the set of squarefree q such that ̺(q) 1, i.e., such that Aq is not empty; for x 1, let Q(x) be the set of q x in Q Standing Assumption. For a fixed α > 0 and x x0, we have

  • px

̺(p)1

log p αx. For q ∈ Q, let ∆q be the probability measure ∆q = 1 ̺(q)

  • x∈Aq

δ{x/q}

  • n R/Z.
slide-7
SLIDE 7

First statement

  • Theorem. (K–Sound) Assume that
  • px

̺(p)2

1 p → +∞. Then the measures µx = 1 |Q(x)|

  • q∈Q(x)

∆q converge to the Lebesgue measure λ on R/Z as x → +∞. In fact, we have a quantitative discrepancy bound: there exists C 0, depending on x0, α, such that for x 2 disc(µx) 1 |Q(x)|

  • q∈Q(x)

disc(∆q) C exp

  • −1

6

  • px

̺(p)2

1 p

  • .

Here disc(µ) = supI |µ(I) − λ(I)|, where I runs over closed intervals.

slide-8
SLIDE 8

Optimality

The discrepancy estimate 1 |Q(x)|

  • q∈Q(x)

disc(∆q) C exp

  • −1

6

  • px

̺(p)2

1 p

  • shows that for most q, the measure ∆q is close to the Lebesgue measure.

This statement is not far from sharp: for “random” sets, we can expect that the number of squarefree integers q ∈ Q(x) which have no prime divisor p with ̺(p) 2 is ≍ |Q(x)|

  • px

̺(p)2

  • 1 − 1

p

  • ≍ |Q(x)| exp
  • px

̺(p)2

1 p

  • ,

and we have disc(∆q) = 1 for every such q.

slide-9
SLIDE 9

Higher-dimensional version

Fix n 1. We consider now subsets Ap ⊂ (Z/pZ)n and define Aq and Q as before. There can be further obstructions to equidistribution: it could be, e.g., that Ap is contained in {(x1, . . . , xn) ∈ (Z/pZ)n | x1 + · · · + xn = 1} for all p, in which case Aq will satisfy the same constraint modulo q, and the fractional parts will be constrained to lie on a subtorus of (R/Z)n. Linear conditions like these are the only additional restrictions. For p prime, let λ(p) = maxH |H ∩ Ap|, where H runs over affine hyperplanes modulo p.

  • Example. If n = 1, then λ(p) = 1 if Ap is not empty.
slide-10
SLIDE 10

Second statement

  • Theorem. (K–Sound) For sets in n-dimensional space, we have

1 |Q(x)|

  • q∈Q(x)

disc(∆q) Cn exp

  • −1

3

  • px

̺(p)1

  • 1 − λ(p)

̺(p) 1 p

  • .

Here the discrepancy is the “box” discrepancy disc(µ) = sup

B

|µ(B) − λn(B)| for measures µ on (R/Z)n, where B runs over products of closed intervals and λn is the Lebesgue measure on (R/Z)n. Note that λ(p) = ̺(p) if 0 ̺(p) n. Intuitively, we obtain the equidistribution if we have ̺(p) n + 1 for a positive density of primes, and the points of Ap are in “general position”.

slide-11
SLIDE 11

Restricting the number of prime factors

Another motivating question is whether equidistribution of roots of polynomial congruences already holds modulo primes. In our setting, the residue classes modulo primes are chosen arbitrarily, so

  • bviously this cannot be true. But we can show that, if |Ap| → +∞,

then equidistribution will already hold for q with exactly two prime

  • factors. In the general case, we can also fix the number k of prime

factors in a wide range, provided k → +∞ with x. For k 1, we denote by Qk and Qk(x) the elements of Q and Q(x) which have exactly k prime factors.

slide-12
SLIDE 12

Many prime factors

  • Theorem. (K–Sound) For sets in n-dimensional space, if
  • px

̺(p)1

  • 1 − λ(p)

̺(p) 1 p δ log log x, where δ > 0 then we have 1 |Qk(x)|

  • q∈Qk(x)

disc(∆q) C

  • e−kδ/18 + (log x)−αδ/18

provided k0 k exp(c√log log x) where c = c(n, α, δ) > 0 et k0 = k0(n, δ).

slide-13
SLIDE 13

A fixed number of prime factors

  • Theorem. (K–Sound) For sets in n-dimensional space, if k is fixed and
  • px

̺(p)1

λ(p) ̺(p) 1 p < +∞ then there exists c > 0, C 0 such that 1 |Qk(x)|

  • q∈Qk(x)

disc(∆q) C(c log log x)−(k−1)/10 for x 2. In particular, we obtain equidistribution already with k = 2.

slide-14
SLIDE 14

Application 1: a question of Hrushovski

For prime moduli, Hrushovski (arXiv:1911.01096) has asked if a p

  • , . . . ,

ad−1 p

  • ∈ (R/Z)d−1,

f (a) = 0 mod p, where a runs over roots modulo p x of an irreducible f ∈ Z[X] of degree d 1 become equidistributed as x → +∞. This is indeed the case for the roots modulo squarefree moduli q: ◮ For a positive proportion of primes, we have ̺(p) = d; ◮ For any affine hyperplane H modulo p, we have |H ∩ Ap| d − 1 so that λ(p) d − 1; ◮ Hence

  • px

̺(p)1

  • 1 − λ(p)

̺(p) 1 p ≫ log log x. By projecting to the first coordinate (when d 2), we obtain our version

  • f Hooley’s Theorem.
slide-15
SLIDE 15

Application 2: variations around roots of polynomial congruences

◮ Equidistribution of roots of f modulo q, when q is restricted to have all prime factors in suitable subsets of the primes (it suffices that they are independent enough of the totally split primes to ensure that ̺(p) 2 for a positive density of p); ◮ Equidistribution of roots a of f modulo q, when a is restricted to belong to a subset of Z/qZ which has, for q prime, a positive density (again with some minor independence assumption); for instance, a can be assumed to be a value a = g(b) of another (non-constant) polynomial g ∈ Z[X], for some b ∈ Z/qZ. ◮ Combinations of these. ◮ If f1, . . . , fn are distinct irreducible polynomials, each with degree 2, we get equidistribution in (R/Z)n of the fractional parts

  • f (a1, . . . , an), where ai mod q runs over roots of fi mod q.
slide-16
SLIDE 16

Application 3: pseudo-polynomials

  • Definition. (Hall) A pseudo-polynomial is a function f : Z → Z such

that a − b | f (a) − f (b) for all a = b in Z. Then f mod q is a well-defined function Z/qZ → Z/qZ for all q 1. There are uncountably many pseudo-polynomials. Examples are f1(n) = ⌊en!⌋ f2(n) = (−1)n × |{derangements σ ∈ Sn}|.

  • Question. Are the fractional parts of the zeros modulo q of a (genuine)

pseudo-polynomial f equidistributed? For f1 we don’t know – although, experimentally, the number of zeros

  • f f1 modulo a large prime p seems to behave like a Poisson random

variable with parameter 1. But we can prove it for f2 − 1, because this can be checked to have 2 zeros modulo any prime p 3 (namely, a = 0 and a = p − 1).

slide-17
SLIDE 17

Counterexample: Hooley’s measures are unnatural

Our basic results involve the probability measures 1 |Q(x)|

  • q∈Q(x)

∆q, in contrast with Hooley’s (implicit) use of the measures µ(H)

x

= 1 Mx

  • q∈Q(x)

̺(q)∆q Mx =

  • q∈Q(x)

̺(q). There is no general analogue of our results for these measures.

  • Example. Let Ap be the set of classes modulo p of the integers such

that 1 i p/ log p. Define Aq for q squarefree by the Chinese Remainder Theorem. Then µ(H)

x

does not converge to the Lebesgue measure as x → +∞ (because the primes already contribute a positive proportion of the measure).

slide-18
SLIDE 18

Ideas of the proof

◮ The discrepancy is bounded using the Erdős–Turán inequality; this amounts to taking the test functions f (x) = e(h · x), (h · x =

  • hixi,

uniformly with respect to h); ◮ Cancellation comes from the average 1 p

  • a mod p
  • 1

̺(p)

  • x∈Ap

e a h · x p

  • 2

1 p

  • a mod p
  • 1

̺(p)

  • x∈Ap

e a h · x p

  • 2

. The trivial bound is 1; but this is also equal to 1 ̺(p)2

  • x,y∈Ap

h·x=h·y

1 = 1 ̺(p)2

  • x∈Ap
  • y∈Ap

h·x=h·y

1 λ(p) ̺(p) . So if λ(p) < ̺(p) for sufficiently many primes, using multiplicativity to “amplify” this constant factor, we can obtain cancellation.

slide-19
SLIDE 19

Ideas of the proof (cont.)

◮ Weyl sums for ∆q: W (h; q) = 1 ̺(q)

  • x∈Aq

e h · x q

  • .

◮ Factor q = rs where s has all prime factors “small”; then W (h; rs) = W (¯ rh; s)W (¯ sh; r); bound W (¯ sh; r) trivially, then sum

  • ver r in arithmetic progressions modulo s:
  • q=rs∈Q(x)

|W (h; q)|

  • sx
  • a mod s

|W (¯ ah; s)|

  • rx/s

r≡a mod s

1. ◮ Use Brun–Titchmarsh for the inner sum; then Cauchy–Schwarz and multiplicativity for the first moment of W (¯ ah; s). ◮ We also require upper and lower bounds for |Q(x)|, which are

  • btained by elementary means.
slide-20
SLIDE 20

All moduli

Tentative Theorem. (K-Sound) For primes p and k 1, let Apk be a subset of (Z/pkZ)n. For q 1, define Aq = {x ∈ (Z/qZ)m | x mod pk ∈ Apk for all pk || q}. Let Q be the set of q such that ̺(q) 1. Assume the same Standing Assumption as before:

  • px

̺(p)1

log p αx. Define ∆q for all q. Then all previous results should still hold. In other words, no constraint or compatibility condition whatsoever should be required for the subsets Apk when k 2. The previous results correspond to the case when Apk is empty for k 2.

slide-21
SLIDE 21

Prime moduli

For roots of polynomial congruences f (a) = 0 mod p to prime moduli (with f irreducible), the two types of measures lead a priori to different conjectures (except for degree 2, in which case they are the same): ◮ Convergence of Hooley’s measures: 1 π(x)

  • px
  • f (a)=0 mod p

δ{a/p}, π(x) ∼

  • px

̺(p) ◮ ... or of the measures 1 |P(x)|

  • px

̺(p)1

1 ̺(p)

  • f (a)=0 mod p

δ{a/p}, P(x) = {p x | ̺(p) 1}. A function field analogue suggests that, in this case, the first statement is more natural. But both should be true.